Dataset statistics
| Number of variables | 29 |
|---|---|
| Number of observations | 556205 |
| Missing cells | 452079 |
| Missing cells (%) | 2.8% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 123.1 MiB |
| Average record size in memory | 232.0 B |
Variable types
| Numeric | 12 |
|---|---|
| Unsupported | 1 |
| Categorical | 14 |
| DateTime | 2 |
CRASH TIME has a high cardinality: 1440 distinct values | High cardinality |
LOCATION has a high cardinality: 122234 distinct values | High cardinality |
CONTRIBUTING FACTOR VEHICLE 1 has a high cardinality: 55 distinct values | High cardinality |
VEHICLE TYPE CODE 1 has a high cardinality: 839 distinct values | High cardinality |
VEHICLE TYPE CODE 2 has a high cardinality: 890 distinct values | High cardinality |
df_index is highly correlated with COLLISION_ID and 1 other fields | High correlation |
NUMBER OF PERSONS INJURED is highly correlated with NUMBER OF MOTORIST INJURED | High correlation |
NUMBER OF PERSONS KILLED is highly correlated with NUMBER OF PEDESTRIANS KILLED and 1 other fields | High correlation |
NUMBER OF PEDESTRIANS KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
NUMBER OF MOTORIST INJURED is highly correlated with NUMBER OF PERSONS INJURED | High correlation |
NUMBER OF MOTORIST KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
COLLISION_ID is highly correlated with df_index and 1 other fields | High correlation |
Year is highly correlated with df_index and 1 other fields | High correlation |
DayOfWeekNumber is highly correlated with hourofweek | High correlation |
hourofday is highly correlated with timeofdaypercent | High correlation |
timeofdaypercent is highly correlated with hourofday | High correlation |
hourofweek is highly correlated with DayOfWeekNumber | High correlation |
df_index is highly correlated with COLLISION_ID and 1 other fields | High correlation |
LATITUDE is highly correlated with LONGITUDE | High correlation |
LONGITUDE is highly correlated with LATITUDE | High correlation |
NUMBER OF PERSONS INJURED is highly correlated with NUMBER OF MOTORIST INJURED | High correlation |
NUMBER OF PERSONS KILLED is highly correlated with NUMBER OF PEDESTRIANS KILLED and 1 other fields | High correlation |
NUMBER OF PEDESTRIANS KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
NUMBER OF MOTORIST INJURED is highly correlated with NUMBER OF PERSONS INJURED | High correlation |
NUMBER OF MOTORIST KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
COLLISION_ID is highly correlated with df_index and 1 other fields | High correlation |
Year is highly correlated with df_index and 1 other fields | High correlation |
DayOfWeekNumber is highly correlated with hourofweek | High correlation |
hourofday is highly correlated with timeofdaypercent | High correlation |
timeofdaypercent is highly correlated with hourofday | High correlation |
hourofweek is highly correlated with DayOfWeekNumber | High correlation |
df_index is highly correlated with COLLISION_ID and 1 other fields | High correlation |
NUMBER OF PERSONS INJURED is highly correlated with NUMBER OF MOTORIST INJURED | High correlation |
NUMBER OF PERSONS KILLED is highly correlated with NUMBER OF PEDESTRIANS KILLED and 1 other fields | High correlation |
NUMBER OF PEDESTRIANS KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
NUMBER OF MOTORIST INJURED is highly correlated with NUMBER OF PERSONS INJURED | High correlation |
NUMBER OF MOTORIST KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
COLLISION_ID is highly correlated with df_index and 1 other fields | High correlation |
Year is highly correlated with df_index and 1 other fields | High correlation |
DayOfWeekNumber is highly correlated with hourofweek | High correlation |
hourofday is highly correlated with timeofdaypercent | High correlation |
timeofdaypercent is highly correlated with hourofday | High correlation |
hourofweek is highly correlated with DayOfWeekNumber | High correlation |
NUMBER OF PERSONS KILLED is highly correlated with NUMBER OF MOTORIST KILLED and 1 other fields | High correlation |
NUMBER OF MOTORIST KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
NUMBER OF PEDESTRIANS KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
df_index is highly correlated with COLLISION_ID and 2 other fields | High correlation |
LATITUDE is highly correlated with LONGITUDE | High correlation |
LONGITUDE is highly correlated with LATITUDE | High correlation |
NUMBER OF PERSONS INJURED is highly correlated with NUMBER OF MOTORIST INJURED | High correlation |
NUMBER OF PERSONS KILLED is highly correlated with NUMBER OF PEDESTRIANS KILLED and 1 other fields | High correlation |
NUMBER OF PEDESTRIANS KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
NUMBER OF MOTORIST INJURED is highly correlated with NUMBER OF PERSONS INJURED | High correlation |
NUMBER OF MOTORIST KILLED is highly correlated with NUMBER OF PERSONS KILLED | High correlation |
COLLISION_ID is highly correlated with df_index and 2 other fields | High correlation |
Year is highly correlated with df_index and 1 other fields | High correlation |
DayOfWeekNumber is highly correlated with DayOfWeek and 1 other fields | High correlation |
DayOfWeek is highly correlated with DayOfWeekNumber and 1 other fields | High correlation |
hourofday is highly correlated with timeofdaypercent and 1 other fields | High correlation |
timeofdaypercent is highly correlated with hourofday and 1 other fields | High correlation |
month is highly correlated with df_index and 1 other fields | High correlation |
hourofweek is highly correlated with DayOfWeekNumber and 3 other fields | High correlation |
BOROUGH has 196099 (35.3%) missing values | Missing |
LATITUDE has 41428 (7.4%) missing values | Missing |
LONGITUDE has 41428 (7.4%) missing values | Missing |
LOCATION has 41428 (7.4%) missing values | Missing |
VEHICLE TYPE CODE 2 has 125877 (22.6%) missing values | Missing |
LATITUDE is highly skewed (γ1 = -26.02064086) | Skewed |
df_index has unique values | Unique |
COLLISION_ID has unique values | Unique |
CRASH DATE is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
NUMBER OF PERSONS INJURED has 432082 (77.7%) zeros | Zeros |
NUMBER OF PEDESTRIANS INJURED has 528873 (95.1%) zeros | Zeros |
NUMBER OF MOTORIST INJURED has 473844 (85.2%) zeros | Zeros |
DayOfWeekNumber has 79914 (14.4%) zeros | Zeros |
hourofday has 20154 (3.6%) zeros | Zeros |
minute has 111720 (20.1%) zeros | Zeros |
timeofdaypercent has 8482 (1.5%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-08 15:36:54.881787 |
|---|---|
| Analysis finished | 2022-05-08 15:40:00.949927 |
| Duration | 3 minutes and 6.07 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 556205 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 397820.5303 |
| Minimum | 13 |
|---|---|
| Maximum | 688757 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 103777.2 |
| Q1 | 262458 |
| median | 410423 |
| Q3 | 549474 |
| 95-th percentile | 660789.8 |
| Maximum | 688757 |
| Range | 688744 |
| Interquartile range (IQR) | 287016 |
Descriptive statistics
| Standard deviation | 178624.1948 |
|---|---|
| Coefficient of variation (CV) | 0.4490069797 |
| Kurtosis | -1.040195417 |
| Mean | 397820.5303 |
| Median Absolute Deviation (MAD) | 143508 |
| Skewness | -0.2198333476 |
| Sum | 2.21269768 × 1011 |
| Variance | 3.190660295 × 1010 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8196 | 1 | < 0.1% |
| 435073 | 1 | < 0.1% |
| 447375 | 1 | < 0.1% |
| 449422 | 1 | < 0.1% |
| 443277 | 1 | < 0.1% |
| 445324 | 1 | < 0.1% |
| 455563 | 1 | < 0.1% |
| 457610 | 1 | < 0.1% |
| 451465 | 1 | < 0.1% |
| 453512 | 1 | < 0.1% |
| Other values (556195) | 556195 |
| Value | Count | Frequency (%) |
| 13 | 1 | |
| 14 | 1 | |
| 39 | 1 | |
| 93 | 1 | |
| 423 | 1 | |
| 662 | 1 | |
| 690 | 1 | |
| 847 | 1 | |
| 1044 | 1 | |
| 1145 | 1 |
| Value | Count | Frequency (%) |
| 688757 | 1 | |
| 688756 | 1 | |
| 688755 | 1 | |
| 688754 | 1 | |
| 688753 | 1 | |
| 688752 | 1 | |
| 688751 | 1 | |
| 688750 | 1 | |
| 688749 | 1 | |
| 688748 | 1 |
| Distinct | 1440 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 0:00 | 8482 |
|---|---|
| 16:00 | 7813 |
| 17:00 | 7558 |
| 15:00 | 7323 |
| 14:00 | 7230 |
| Other values (1435) |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.734871136 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 22:50 |
|---|---|
| 2nd row | 15:49 |
| 3rd row | 16:30 |
| 4th row | 20:19 |
| 5th row | 15:20 |
Common Values
| Value | Count | Frequency (%) |
| 0:00 | 8482 | 1.5% |
| 16:00 | 7813 | 1.4% |
| 17:00 | 7558 | 1.4% |
| 15:00 | 7323 | 1.3% |
| 14:00 | 7230 | 1.3% |
| 18:00 | 6938 | 1.2% |
| 13:00 | 6655 | 1.2% |
| 12:00 | 6122 | 1.1% |
| 9:00 | 6021 | 1.1% |
| 8:00 | 5729 | 1.0% |
| Other values (1430) | 486334 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0:00 | 8482 | 1.5% |
| 16:00 | 7813 | 1.4% |
| 17:00 | 7558 | 1.4% |
| 15:00 | 7323 | 1.3% |
| 14:00 | 7230 | 1.3% |
| 18:00 | 6938 | 1.2% |
| 13:00 | 6655 | 1.2% |
| 12:00 | 6122 | 1.1% |
| 9:00 | 6021 | 1.1% |
| 8:00 | 5729 | 1.0% |
| Other values (1430) | 486334 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 196099 |
| Missing (%) | 35.3% |
| Memory size | 4.2 MiB |
| BROOKLYN | |
|---|---|
| QUEENS | |
| MANHATTAN | |
| BRONX | |
| STATEN ISLAND |
Length
| Max length | 13 |
|---|---|
| Median length | 8 |
| Mean length | 7.296820936 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | BROOKLYN |
|---|---|
| 2nd row | MANHATTAN |
| 3rd row | QUEENS |
| 4th row | MANHATTAN |
| 5th row | MANHATTAN |
Common Values
| Value | Count | Frequency (%) |
| BROOKLYN | 117330 | |
| QUEENS | 101849 | |
| MANHATTAN | 68881 | 12.4% |
| BRONX | 59829 | 10.8% |
| STATEN ISLAND | 12217 | 2.2% |
| (Missing) | 196099 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| brooklyn | 117330 | |
| queens | 101849 | |
| manhattan | 68881 | |
| bronx | 59829 | |
| staten | 12217 | 3.3% |
| island | 12217 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 62407 |
|---|---|
| Distinct (%) | 12.1% |
| Missing | 41428 |
| Missing (%) | 7.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.66615177 |
| Minimum | 0 |
|---|---|
| Maximum | 41.12421 |
| Zeros | 751 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 40.598628 |
| Q1 | 40.668224 |
| median | 40.72028 |
| Q3 | 40.77434 |
| 95-th percentile | 40.862823 |
| Maximum | 41.12421 |
| Range | 41.12421 |
| Interquartile range (IQR) | 0.106116 |
Descriptive statistics
| Standard deviation | 1.556441398 |
|---|---|
| Coefficient of variation (CV) | 0.03827363373 |
| Kurtosis | 676.8732272 |
| Mean | 40.66615177 |
| Median Absolute Deviation (MAD) | 0.0527 |
| Skewness | -26.02064086 |
| Sum | 20933999.61 |
| Variance | 2.422509826 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 751 | 0.1% |
| 40.861862 | 431 | 0.1% |
| 40.696033 | 375 | 0.1% |
| 40.8047 | 331 | 0.1% |
| 40.798256 | 293 | 0.1% |
| 40.608757 | 281 | 0.1% |
| 40.75898 | 247 | < 0.1% |
| 40.733536 | 246 | < 0.1% |
| 40.820305 | 242 | < 0.1% |
| 40.76229 | 240 | < 0.1% |
| Other values (62397) | 511340 | |
| (Missing) | 41428 | 7.4% |
| Value | Count | Frequency (%) |
| 0 | 751 | |
| 40.49984 | 1 | < 0.1% |
| 40.500023 | 1 | < 0.1% |
| 40.500084 | 1 | < 0.1% |
| 40.501465 | 1 | < 0.1% |
| 40.50163 | 1 | < 0.1% |
| 40.501987 | 1 | < 0.1% |
| 40.502182 | 1 | < 0.1% |
| 40.50234 | 1 | < 0.1% |
| 40.502396 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 41.12421 | 1 | < 0.1% |
| 40.912884 | 6 | |
| 40.912468 | 9 | |
| 40.91222 | 1 | < 0.1% |
| 40.91217 | 1 | < 0.1% |
| 40.912117 | 1 | < 0.1% |
| 40.91208 | 6 | |
| 40.91206 | 1 | < 0.1% |
| 40.912018 | 2 | < 0.1% |
| 40.911667 | 1 | < 0.1% |
| Distinct | 41779 |
|---|---|
| Distinct (%) | 8.1% |
| Missing | 41428 |
| Missing (%) | 7.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -73.8168721 |
| Minimum | -201.23706 |
|---|---|
| Maximum | 0 |
| Zeros | 751 |
| Zeros (%) | 0.1% |
| Negative | 514026 |
| Negative (%) | 92.4% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | -201.23706 |
|---|---|
| 5-th percentile | -74.02453 |
| Q1 | -73.96899 |
| median | -73.92147 |
| Q3 | -73.86239 |
| 95-th percentile | -73.76111 |
| Maximum | 0 |
| Range | 201.23706 |
| Interquartile range (IQR) | 0.1066 |
Descriptive statistics
| Standard deviation | 3.023231539 |
|---|---|
| Coefficient of variation (CV) | -0.04095583371 |
| Kurtosis | 742.4564494 |
| Mean | -73.8168721 |
| Median Absolute Deviation (MAD) | 0.052834 |
| Skewness | 15.86448813 |
| Sum | -37999227.97 |
| Variance | 9.139928939 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 751 | 0.1% |
| -73.91282 | 447 | 0.1% |
| -73.98453 | 396 | 0.1% |
| -73.91243 | 339 | 0.1% |
| -73.89063 | 333 | 0.1% |
| -73.882744 | 310 | 0.1% |
| -73.89686 | 291 | 0.1% |
| -73.89083 | 284 | 0.1% |
| -74.038086 | 281 | 0.1% |
| -73.91727 | 267 | < 0.1% |
| Other values (41769) | 511078 | |
| (Missing) | 41428 | 7.4% |
| Value | Count | Frequency (%) |
| -201.23706 | 37 | |
| -74.742 | 3 | < 0.1% |
| -74.25393 | 1 | < 0.1% |
| -74.253006 | 1 | < 0.1% |
| -74.252884 | 1 | < 0.1% |
| -74.25218 | 1 | < 0.1% |
| -74.25209 | 1 | < 0.1% |
| -74.25188 | 1 | < 0.1% |
| -74.25184 | 2 | < 0.1% |
| -74.251495 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 751 | |
| -32.768513 | 2 | < 0.1% |
| -73.70055 | 2 | < 0.1% |
| -73.700584 | 5 | < 0.1% |
| -73.70071 | 2 | < 0.1% |
| -73.70073 | 1 | < 0.1% |
| -73.70076 | 1 | < 0.1% |
| -73.70084 | 2 | < 0.1% |
| -73.70099 | 14 | < 0.1% |
| -73.701004 | 1 | < 0.1% |
| Distinct | 122234 |
|---|---|
| Distinct (%) | 23.7% |
| Missing | 41428 |
| Missing (%) | 7.4% |
| Memory size | 4.2 MiB |
| (0.0, 0.0) | 751 |
|---|---|
| (40.861862, -73.91282) | 429 |
| (40.696033, -73.98453) | 375 |
| (40.8047, -73.91243) | 312 |
| (40.608757, -74.038086) | 281 |
| Other values (122229) |
Length
| Max length | 25 |
|---|---|
| Median length | 22 |
| Mean length | 21.71638982 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 70434 ? |
|---|---|
| Unique (%) | 13.7% |
Sample
| 1st row | (40.69754, -73.98312) |
|---|---|
| 2nd row | (40.671585, -73.99843) |
| 3rd row | (40.651974, -73.86542) |
| 4th row | (40.77161, -73.99046) |
| 5th row | (40.771038, -73.83413) |
Common Values
| Value | Count | Frequency (%) |
| (0.0, 0.0) | 751 | 0.1% |
| (40.861862, -73.91282) | 429 | 0.1% |
| (40.696033, -73.98453) | 375 | 0.1% |
| (40.8047, -73.91243) | 312 | 0.1% |
| (40.608757, -74.038086) | 281 | 0.1% |
| (40.798256, -73.82744) | 257 | < 0.1% |
| (40.733536, -73.87035) | 246 | < 0.1% |
| (40.820305, -73.89083) | 242 | < 0.1% |
| (40.675735, -73.89686) | 236 | < 0.1% |
| (40.83801, -73.87329) | 233 | < 0.1% |
| Other values (122224) | 511415 | |
| (Missing) | 41428 | 7.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0.0 | 1502 | 0.1% |
| 73.91282 | 447 | < 0.1% |
| 40.861862 | 431 | < 0.1% |
| 73.98453 | 396 | < 0.1% |
| 40.696033 | 375 | < 0.1% |
| 73.91243 | 339 | < 0.1% |
| 73.89063 | 333 | < 0.1% |
| 40.8047 | 331 | < 0.1% |
| 73.882744 | 310 | < 0.1% |
| 40.798256 | 293 | < 0.1% |
| Other values (104175) | 1024797 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
NUMBER OF PERSONS INJURED
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 21 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 5 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.302121539 |
| Minimum | 0 |
|---|---|
| Maximum | 22 |
| Zeros | 432082 |
| Zeros (%) | 77.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 22 |
| Range | 22 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6849383441 |
|---|---|
| Coefficient of variation (CV) | 2.267095376 |
| Kurtosis | 28.30558787 |
| Mean | 0.302121539 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.773722175 |
| Sum | 168040 |
| Variance | 0.4691405353 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 432082 | |
| 1 | 96100 | 17.3% |
| 2 | 18409 | 3.3% |
| 3 | 5965 | 1.1% |
| 4 | 2219 | 0.4% |
| 5 | 837 | 0.2% |
| 6 | 319 | 0.1% |
| 7 | 136 | < 0.1% |
| 8 | 61 | < 0.1% |
| 9 | 25 | < 0.1% |
| Other values (11) | 47 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 432082 | |
| 1 | 96100 | 17.3% |
| 2 | 18409 | 3.3% |
| 3 | 5965 | 1.1% |
| 4 | 2219 | 0.4% |
| 5 | 837 | 0.2% |
| 6 | 319 | 0.1% |
| 7 | 136 | < 0.1% |
| 8 | 61 | < 0.1% |
| 9 | 25 | < 0.1% |
| Value | Count | Frequency (%) |
| 22 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 3 | < 0.1% |
| 16 | 1 | < 0.1% |
| 15 | 2 | < 0.1% |
| 14 | 2 | < 0.1% |
| 13 | 3 | < 0.1% |
| 12 | 7 | |
| 11 | 9 |
NUMBER OF PERSONS KILLED
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 14 |
| Missing (%) | < 0.1% |
| Memory size | 4.2 MiB |
| 0.0 | |
|---|---|
| 1.0 | 700 |
| 2.0 | 18 |
| 3.0 | 2 |
| 4.0 | 1 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 555470 | |
| 1.0 | 700 | 0.1% |
| 2.0 | 18 | < 0.1% |
| 3.0 | 2 | < 0.1% |
| 4.0 | 1 | < 0.1% |
| (Missing) | 14 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0.0 | 555470 | |
| 1.0 | 700 | 0.1% |
| 2.0 | 18 | < 0.1% |
| 3.0 | 2 | < 0.1% |
| 4.0 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0510621084 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 528873 |
| Zeros (%) | 95.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.2302640362 |
|---|---|
| Coefficient of variation (CV) | 4.509489394 |
| Kurtosis | 30.62087674 |
| Mean | 0.0510621084 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.886336249 |
| Sum | 28401 |
| Variance | 0.05302152638 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 528873 | |
| 1 | 26403 | 4.7% |
| 2 | 828 | 0.1% |
| 3 | 77 | < 0.1% |
| 4 | 15 | < 0.1% |
| 5 | 4 | < 0.1% |
| 6 | 4 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 528873 | |
| 1 | 26403 | 4.7% |
| 2 | 828 | 0.1% |
| 3 | 77 | < 0.1% |
| 4 | 15 | < 0.1% |
| 5 | 4 | < 0.1% |
| 6 | 4 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 6 | 4 | < 0.1% |
| 5 | 4 | < 0.1% |
| 4 | 15 | < 0.1% |
| 3 | 77 | < 0.1% |
| 2 | 828 | 0.1% |
| 1 | 26403 | 4.7% |
| 0 | 528873 |
NUMBER OF PEDESTRIANS KILLED
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 0 | |
|---|---|
| 1 | 350 |
| 2 | 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 555852 | |
| 1 | 350 | 0.1% |
| 2 | 3 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 555852 | |
| 1 | 350 | 0.1% |
| 2 | 3 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
NUMBER OF CYCLIST INJURED
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 0 | |
|---|---|
| 1 | 14866 |
| 2 | 208 |
| 3 | 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 541127 | |
| 1 | 14866 | 2.7% |
| 2 | 208 | < 0.1% |
| 3 | 4 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 541127 | |
| 1 | 14866 | 2.7% |
| 2 | 208 | < 0.1% |
| 3 | 4 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
NUMBER OF CYCLIST KILLED
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 0 | |
|---|---|
| 1 | 70 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 556135 | |
| 1 | 70 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 556135 | |
| 1 | 70 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
NUMBER OF MOTORIST INJURED
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 21 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2235165092 |
| Minimum | 0 |
|---|---|
| Maximum | 21 |
| Zeros | 473844 |
| Zeros (%) | 85.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 21 |
| Range | 21 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6500539542 |
|---|---|
| Coefficient of variation (CV) | 2.908303984 |
| Kurtosis | 36.48045492 |
| Mean | 0.2235165092 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 4.552156025 |
| Sum | 124321 |
| Variance | 0.4225701434 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 0 | 473844 | |
| 1 | 55963 | 10.1% |
| 2 | 16998 | 3.1% |
| 3 | 5821 | 1.0% |
| 4 | 2187 | 0.4% |
| 5 | 822 | 0.1% |
| 6 | 312 | 0.1% |
| 7 | 129 | < 0.1% |
| 8 | 57 | < 0.1% |
| 9 | 25 | < 0.1% |
| Other values (11) | 47 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 473844 | |
| 1 | 55963 | 10.1% |
| 2 | 16998 | 3.1% |
| 3 | 5821 | 1.0% |
| 4 | 2187 | 0.4% |
| 5 | 822 | 0.1% |
| 6 | 312 | 0.1% |
| 7 | 129 | < 0.1% |
| 8 | 57 | < 0.1% |
| 9 | 25 | < 0.1% |
| Value | Count | Frequency (%) |
| 21 | 1 | < 0.1% |
| 20 | 2 | < 0.1% |
| 18 | 1 | < 0.1% |
| 17 | 3 | < 0.1% |
| 16 | 1 | < 0.1% |
| 15 | 2 | < 0.1% |
| 14 | 2 | < 0.1% |
| 13 | 3 | < 0.1% |
| 12 | 6 | |
| 11 | 10 |
NUMBER OF MOTORIST KILLED
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 0 | |
|---|---|
| 1 | 284 |
| 2 | 13 |
| 3 | 2 |
| 4 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 555905 | |
| 1 | 284 | 0.1% |
| 2 | 13 | < 0.1% |
| 3 | 2 | < 0.1% |
| 4 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 555905 | |
| 1 | 284 | 0.1% |
| 2 | 13 | < 0.1% |
| 3 | 2 | < 0.1% |
| 4 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 55 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 1942 |
| Missing (%) | 0.3% |
| Memory size | 4.2 MiB |
| Driver Inattention/Distraction | |
|---|---|
| Unspecified | |
| Following Too Closely | |
| Failure to Yield Right-of-Way | |
| Backing Unsafely | |
| Other values (50) |
Length
| Max length | 53 |
|---|---|
| Median length | 21 |
| Mean length | 21.45328842 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Passing or Lane Usage Improper |
|---|---|
| 2nd row | Driver Inattention/Distraction |
| 3rd row | Reaction to Uninvolved Vehicle |
| 4th row | Following Too Closely |
| 5th row | Driver Inattention/Distraction |
Common Values
| Value | Count | Frequency (%) |
| Driver Inattention/Distraction | 140948 | |
| Unspecified | 128683 | |
| Following Too Closely | 48977 | 8.8% |
| Failure to Yield Right-of-Way | 38325 | 6.9% |
| Backing Unsafely | 24912 | 4.5% |
| Passing or Lane Usage Improper | 24084 | 4.3% |
| Passing Too Closely | 22589 | 4.1% |
| Unsafe Lane Changing | 17600 | 3.2% |
| Other Vehicular | 16500 | 3.0% |
| Turning Improperly | 12422 | 2.2% |
| Other values (45) | 79223 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| driver | 149719 | 12.0% |
| inattention/distraction | 140948 | 11.3% |
| unspecified | 128683 | 10.3% |
| too | 71566 | 5.7% |
| closely | 71566 | 5.7% |
| following | 48977 | 3.9% |
| to | 48003 | 3.8% |
| passing | 46673 | 3.7% |
| lane | 41984 | 3.4% |
| failure | 39856 | 3.2% |
| Other values (93) | 464434 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 556205 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4102031.994 |
| Minimum | 3511951 |
|---|---|
| Maximum | 4513071 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 3511951 |
|---|---|
| 5-th percentile | 3849157.2 |
| Q1 | 3960658 |
| median | 4103330 |
| Q3 | 4242467 |
| 95-th percentile | 4353752.8 |
| Maximum | 4513071 |
| Range | 1001120 |
| Interquartile range (IQR) | 281809 |
Descriptive statistics
| Standard deviation | 162142.2421 |
|---|---|
| Coefficient of variation (CV) | 0.03952729826 |
| Kurtosis | -1.204276867 |
| Mean | 4102031.994 |
| Median Absolute Deviation (MAD) | 140900 |
| Skewness | -0.0090812053 |
| Sum | 2.281570705 × 1012 |
| Variance | 2.629010667 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4194304 | 1 | < 0.1% |
| 3895867 | 1 | < 0.1% |
| 4121225 | 1 | < 0.1% |
| 4123272 | 1 | < 0.1% |
| 4100743 | 1 | < 0.1% |
| 4102790 | 1 | < 0.1% |
| 4096645 | 1 | < 0.1% |
| 4098692 | 1 | < 0.1% |
| 4108931 | 1 | < 0.1% |
| 4110978 | 1 | < 0.1% |
| Other values (556195) | 556195 |
| Value | Count | Frequency (%) |
| 3511951 | 1 | |
| 3590187 | 1 | |
| 3591031 | 1 | |
| 3600567 | 1 | |
| 3818619 | 1 | |
| 3818620 | 1 | |
| 3818625 | 1 | |
| 3818637 | 1 | |
| 3818640 | 1 | |
| 3818641 | 1 |
| Value | Count | Frequency (%) |
| 4513071 | 1 | |
| 4512076 | 1 | |
| 4511910 | 1 | |
| 4511268 | 1 | |
| 4498730 | 1 | |
| 4498013 | 1 | |
| 4493620 | 1 | |
| 4491746 | 1 | |
| 4485338 | 1 | |
| 4483137 | 1 |
| Distinct | 839 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 3858 |
| Missing (%) | 0.7% |
| Memory size | 4.2 MiB |
| Sedan | |
|---|---|
| Station Wagon/Sport Utility Vehicle | |
| Taxi | 25281 |
| Pick-up Truck | 16057 |
| Box Truck | 11036 |
| Other values (834) |
Length
| Max length | 38 |
|---|---|
| Median length | 5 |
| Mean length | 16.53787384 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 500 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | �MBU |
|---|---|
| 2nd row | Sedan |
| 3rd row | Sedan |
| 4th row | Sedan |
| 5th row | Sedan |
Common Values
| Value | Count | Frequency (%) |
| Sedan | 254180 | |
| Station Wagon/Sport Utility Vehicle | 203500 | |
| Taxi | 25281 | 4.5% |
| Pick-up Truck | 16057 | 2.9% |
| Box Truck | 11036 | 2.0% |
| Bus | 8668 | 1.6% |
| Bike | 5675 | 1.0% |
| Tractor Truck Diesel | 4424 | 0.8% |
| Van | 3513 | 0.6% |
| Motorcycle | 3044 | 0.5% |
| Other values (829) | 16969 | 3.1% |
| (Missing) | 3858 | 0.7% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sedan | 254521 | |
| vehicle | 203543 | |
| utility | 203511 | |
| station | 203500 | |
| wagon/sport | 203500 | |
| truck | 33241 | 2.8% |
| taxi | 25281 | 2.1% |
| pick-up | 16058 | 1.3% |
| box | 11085 | 0.9% |
| bus | 8769 | 0.7% |
| Other values (538) | 45407 | 3.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 890 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 125877 |
| Missing (%) | 22.6% |
| Memory size | 4.2 MiB |
| Sedan | |
|---|---|
| Station Wagon/Sport Utility Vehicle | |
| Taxi | |
| Pick-up Truck | 14931 |
| Box Truck | 12418 |
| Other values (885) |
Length
| Max length | 38 |
|---|---|
| Median length | 5 |
| Mean length | 16.25627428 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 531 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | Taxi |
|---|---|
| 2nd row | Station Wagon/Sport Utility Vehicle |
| 3rd row | Sedan |
| 4th row | Tractor Truck Diesel |
| 5th row | Sedan |
Common Values
| Value | Count | Frequency (%) |
| Sedan | 184957 | |
| Station Wagon/Sport Utility Vehicle | 152883 | |
| Taxi | 19015 | 3.4% |
| Pick-up Truck | 14931 | 2.7% |
| Box Truck | 12418 | 2.2% |
| Bike | 11773 | 2.1% |
| Bus | 7760 | 1.4% |
| Tractor Truck Diesel | 4375 | 0.8% |
| Van | 3275 | 0.6% |
| Motorcycle | 2363 | 0.4% |
| Other values (880) | 16578 | 3.0% |
| (Missing) | 125877 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sedan | 185201 | |
| vehicle | 152922 | |
| utility | 152890 | |
| station | 152883 | |
| wagon/sport | 152883 | |
| truck | 33387 | 3.6% |
| taxi | 19016 | 2.0% |
| pick-up | 14932 | 1.6% |
| box | 12474 | 1.3% |
| bike | 11779 | 1.3% |
| Other values (562) | 46014 | 4.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DateTime
Date
| Distinct | 1097 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| Minimum | 2018-01-01 00:00:00 |
|---|---|
| Maximum | 2021-01-01 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| 2018 | |
|---|---|
| 2019 | |
| 2020 | |
| 2021 | 257 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2019 |
|---|---|
| 2nd row | 2020 |
| 3rd row | 2020 |
| 4th row | 2020 |
| 5th row | 2020 |
Common Values
| Value | Count | Frequency (%) |
| 2018 | 231563 | |
| 2019 | 211485 | |
| 2020 | 112900 | |
| 2021 | 257 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2018 | 231563 | |
| 2019 | 211485 | |
| 2020 | 112900 | |
| 2021 | 257 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Time
Date
| Distinct | 1440 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| Minimum | 1900-01-01 00:00:00 |
|---|---|
| Maximum | 1900-01-01 23:59:00 |
Histogram with fixed size bins (bins=50)
DayOfWeekNumber
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.905658885 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 79914 |
| Zeros (%) | 14.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 1.942335525 |
|---|---|
| Coefficient of variation (CV) | 0.6684664657 |
| Kurtosis | -1.184752032 |
| Mean | 2.905658885 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.03410297032 |
| Sum | 1616142 |
| Variance | 3.772667292 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 4 | 89013 | |
| 3 | 84092 | |
| 1 | 82483 | |
| 2 | 81105 | |
| 0 | 79914 | |
| 5 | 74467 | |
| 6 | 65131 |
| Value | Count | Frequency (%) |
| 0 | 79914 | |
| 1 | 82483 | |
| 2 | 81105 | |
| 3 | 84092 | |
| 4 | 89013 | |
| 5 | 74467 | |
| 6 | 65131 |
| Value | Count | Frequency (%) |
| 6 | 65131 | |
| 5 | 74467 | |
| 4 | 89013 | |
| 3 | 84092 | |
| 2 | 81105 | |
| 1 | 82483 | |
| 0 | 79914 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| Friday | |
|---|---|
| Thursday | |
| Tuesday | |
| Wednesday | |
| Monday | |
| Other values (2) |
Length
| Max length | 9 |
|---|---|
| Median length | 7 |
| Mean length | 7.155897556 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Tuesday |
|---|---|
| 2nd row | Tuesday |
| 3rd row | Thursday |
| 4th row | Friday |
| 5th row | Wednesday |
Common Values
| Value | Count | Frequency (%) |
| Friday | 89013 | |
| Thursday | 84092 | |
| Tuesday | 82483 | |
| Wednesday | 81105 | |
| Monday | 79914 | |
| Saturday | 74467 | |
| Sunday | 65131 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| friday | 89013 | |
| thursday | 84092 | |
| tuesday | 82483 | |
| wednesday | 81105 | |
| monday | 79914 | |
| saturday | 74467 | |
| sunday | 65131 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 24 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.14288077 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 20154 |
| Zeros (%) | 3.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 9 |
| median | 14 |
| Q3 | 17 |
| 95-th percentile | 22 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 5.760881449 |
|---|---|
| Coefficient of variation (CV) | 0.4383271483 |
| Kurtosis | -0.4082702086 |
| Mean | 13.14288077 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.4445238765 |
| Sum | 7310136 |
| Variance | 33.18775507 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 16 | 39694 | 7.1% |
| 17 | 39205 | 7.0% |
| 14 | 37817 | 6.8% |
| 15 | 35932 | 6.5% |
| 18 | 34207 | 6.2% |
| 13 | 32317 | 5.8% |
| 12 | 30785 | 5.5% |
| 8 | 30279 | 5.4% |
| 9 | 28945 | 5.2% |
| 11 | 28795 | 5.2% |
| Other values (14) | 218229 |
| Value | Count | Frequency (%) |
| 0 | 20154 | |
| 1 | 9229 | 1.7% |
| 2 | 6848 | 1.2% |
| 3 | 6121 | 1.1% |
| 4 | 6803 | 1.2% |
| 5 | 7773 | 1.4% |
| 6 | 13039 | |
| 7 | 18275 | |
| 8 | 30279 | |
| 9 | 28945 |
| Value | Count | Frequency (%) |
| 23 | 15109 | 2.7% |
| 22 | 17846 | |
| 21 | 19590 | |
| 20 | 22723 | |
| 19 | 27633 | |
| 18 | 34207 | |
| 17 | 39205 | |
| 16 | 39694 | |
| 15 | 35932 | |
| 14 | 37817 |
| Distinct | 60 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 24.26036623 |
| Minimum | 0 |
|---|---|
| Maximum | 59 |
| Zeros | 111720 |
| Zeros (%) | 20.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 7 |
| median | 25 |
| Q3 | 40 |
| 95-th percentile | 54 |
| Maximum | 59 |
| Range | 59 |
| Interquartile range (IQR) | 33 |
Descriptive statistics
| Standard deviation | 18.12438195 |
|---|---|
| Coefficient of variation (CV) | 0.7470778379 |
| Kurtosis | -1.238250639 |
| Mean | 24.26036623 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | 0.09370039452 |
| Sum | 13493737 |
| Variance | 328.4932211 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 111720 | |
| 30 | 74354 | |
| 45 | 32750 | 5.9% |
| 15 | 31420 | 5.6% |
| 50 | 30419 | 5.5% |
| 20 | 29812 | 5.4% |
| 40 | 28182 | 5.1% |
| 10 | 22176 | 4.0% |
| 25 | 14883 | 2.7% |
| 35 | 14620 | 2.6% |
| Other values (50) | 165869 |
| Value | Count | Frequency (%) |
| 0 | 111720 | |
| 1 | 2483 | 0.4% |
| 2 | 2703 | 0.5% |
| 3 | 2777 | 0.5% |
| 4 | 2817 | 0.5% |
| 5 | 13674 | 2.5% |
| 6 | 2873 | 0.5% |
| 7 | 2839 | 0.5% |
| 8 | 3422 | 0.6% |
| 9 | 2805 | 0.5% |
| Value | Count | Frequency (%) |
| 59 | 2296 | 0.4% |
| 58 | 3402 | 0.6% |
| 57 | 2920 | 0.5% |
| 56 | 2795 | 0.5% |
| 55 | 13894 | |
| 54 | 2936 | 0.5% |
| 53 | 3036 | 0.5% |
| 52 | 2812 | 0.5% |
| 51 | 2447 | 0.4% |
| 50 | 30419 |
timeofdaypercent
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 1440 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 13.54722021 |
| Minimum | 0 |
|---|---|
| Maximum | 23.98333333 |
| Zeros | 8482 |
| Zeros (%) | 1.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.75 |
| Q1 | 9.583333333 |
| median | 14.25 |
| Q3 | 17.9 |
| 95-th percentile | 22.16666667 |
| Maximum | 23.98333333 |
| Range | 23.98333333 |
| Interquartile range (IQR) | 8.316666667 |
Descriptive statistics
| Standard deviation | 5.774132212 |
|---|---|
| Coefficient of variation (CV) | 0.4262226584 |
| Kurtosis | -0.3782311866 |
| Mean | 13.54722021 |
| Median Absolute Deviation (MAD) | 4.083333333 |
| Skewness | -0.4525256113 |
| Sum | 7535031.617 |
| Variance | 33.3406028 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 8482 | 1.5% |
| 16 | 7813 | 1.4% |
| 17 | 7558 | 1.4% |
| 15 | 7323 | 1.3% |
| 14 | 7230 | 1.3% |
| 18 | 6938 | 1.2% |
| 13 | 6655 | 1.2% |
| 12 | 6122 | 1.1% |
| 9 | 6021 | 1.1% |
| 8 | 5729 | 1.0% |
| Other values (1430) | 486334 |
| Value | Count | Frequency (%) |
| 0 | 8482 | |
| 0.01666666667 | 431 | 0.1% |
| 0.03333333333 | 130 | < 0.1% |
| 0.05 | 121 | < 0.1% |
| 0.06666666667 | 99 | < 0.1% |
| 0.08333333333 | 768 | 0.1% |
| 0.1 | 98 | < 0.1% |
| 0.1166666667 | 84 | < 0.1% |
| 0.1333333333 | 97 | < 0.1% |
| 0.15 | 99 | < 0.1% |
| Value | Count | Frequency (%) |
| 23.98333333 | 76 | < 0.1% |
| 23.96666667 | 91 | < 0.1% |
| 23.95 | 75 | < 0.1% |
| 23.93333333 | 84 | < 0.1% |
| 23.91666667 | 450 | |
| 23.9 | 80 | < 0.1% |
| 23.88333333 | 92 | < 0.1% |
| 23.86666667 | 83 | < 0.1% |
| 23.85 | 68 | < 0.1% |
| 23.83333333 | 958 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.2 MiB |
| January | |
|---|---|
| October | |
| March | |
| June | |
| July | |
| Other values (7) |
Length
| Max length | 9 |
|---|---|
| Median length | 7 |
| Mean length | 6.164412402 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | May |
|---|---|
| 2nd row | January |
| 3rd row | December |
| 4th row | December |
| 5th row | April |
Common Values
| Value | Count | Frequency (%) |
| January | 49674 | |
| October | 48141 | |
| March | 48110 | |
| June | 47953 | |
| July | 47404 | |
| August | 46677 | |
| May | 46594 | |
| September | 46387 | |
| February | 45759 | |
| November | 45417 | |
| Other values (2) | 84089 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| january | 49674 | |
| october | 48141 | |
| march | 48110 | |
| june | 47953 | |
| july | 47404 | |
| august | 46677 | |
| may | 46594 | |
| september | 46387 | |
| february | 45759 | |
| november | 45417 | |
| Other values (2) | 84089 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 168 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 82.87869401 |
| Minimum | 0 |
|---|---|
| Maximum | 167 |
| Zeros | 2693 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 4.2 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 41 |
| median | 84 |
| Q3 | 120 |
| 95-th percentile | 159 |
| Maximum | 167 |
| Range | 167 |
| Interquartile range (IQR) | 79 |
Descriptive statistics
| Standard deviation | 46.93774189 |
|---|---|
| Coefficient of variation (CV) | 0.5663426826 |
| Kurtosis | -1.148587267 |
| Mean | 82.87869401 |
| Median Absolute Deviation (MAD) | 41 |
| Skewness | 0.02702035481 |
| Sum | 46097544 |
| Variance | 2203.151614 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 112 | 6490 | 1.2% |
| 113 | 6397 | 1.2% |
| 89 | 6259 | 1.1% |
| 41 | 6207 | 1.1% |
| 88 | 6206 | 1.1% |
| 40 | 6081 | 1.1% |
| 110 | 6067 | 1.1% |
| 65 | 6034 | 1.1% |
| 111 | 6021 | 1.1% |
| 16 | 5961 | 1.1% |
| Other values (158) | 494482 |
| Value | Count | Frequency (%) |
| 0 | 2693 | |
| 1 | 1081 | 0.2% |
| 2 | 746 | 0.1% |
| 3 | 616 | 0.1% |
| 4 | 713 | 0.1% |
| 5 | 1054 | 0.2% |
| 6 | 2200 | |
| 7 | 3140 | |
| 8 | 5086 | |
| 9 | 4806 |
| Value | Count | Frequency (%) |
| 167 | 1981 | |
| 166 | 2508 | |
| 165 | 2679 | |
| 164 | 3007 | |
| 163 | 3300 | |
| 162 | 3861 | |
| 161 | 4013 | |
| 160 | 4241 | |
| 159 | 4025 | |
| 158 | 4452 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | CRASH DATE | CRASH TIME | BOROUGH | LATITUDE | LONGITUDE | LOCATION | NUMBER OF PERSONS INJURED | NUMBER OF PERSONS KILLED | NUMBER OF PEDESTRIANS INJURED | NUMBER OF PEDESTRIANS KILLED | NUMBER OF CYCLIST INJURED | NUMBER OF CYCLIST KILLED | NUMBER OF MOTORIST INJURED | NUMBER OF MOTORIST KILLED | CONTRIBUTING FACTOR VEHICLE 1 | COLLISION_ID | VEHICLE TYPE CODE 1 | VEHICLE TYPE CODE 2 | DateTime | Year | Time | DayOfWeekNumber | DayOfWeek | hourofday | minute | timeofdaypercent | month | hourofweek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 13 | 2019-05-21 | 22:50 | BROOKLYN | 40.697540 | -73.98312 | (40.69754, -73.98312) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Passing or Lane Usage Improper | 4136992 | �MBU | Taxi | 2019-05-21 | 2019 | 1900-01-01 22:50:00 | 1 | Tuesday | 22 | 50 | 22.833333 | May | 46 |
| 1 | 14 | 2020-01-21 | 15:49 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Driver Inattention/Distraction | 4277087 | Sedan | Station Wagon/Sport Utility Vehicle | 2020-01-21 | 2020 | 1900-01-01 15:49:00 | 1 | Tuesday | 15 | 49 | 15.816667 | January | 39 |
| 2 | 39 | 2020-12-31 | 16:30 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Reaction to Uninvolved Vehicle | 4380668 | Sedan | NaN | 2020-12-31 | 2020 | 1900-01-01 16:30:00 | 3 | Thursday | 16 | 30 | 16.500000 | December | 88 |
| 3 | 93 | 2020-12-25 | 20:19 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Following Too Closely | 4380494 | Sedan | Sedan | 2020-12-25 | 2020 | 1900-01-01 20:19:00 | 4 | Friday | 20 | 19 | 20.316667 | December | 116 |
| 4 | 423 | 2020-04-15 | 15:20 | NaN | 40.671585 | -73.99843 | (40.671585, -73.99843) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Driver Inattention/Distraction | 4407790 | Sedan | Tractor Truck Diesel | 2020-04-15 | 2020 | 1900-01-01 15:20:00 | 2 | Wednesday | 15 | 20 | 15.333333 | April | 63 |
| 5 | 662 | 2020-10-25 | 2:00 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Driver Inattention/Distraction | 4360880 | Sedan | NaN | 2020-10-25 | 2020 | 1900-01-01 02:00:00 | 6 | Sunday | 2 | 0 | 2.000000 | October | 146 |
| 6 | 690 | 2020-11-11 | 16:33 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Unspecified | 4387870 | Station Wagon/Sport Utility Vehicle | NaN | 2020-11-11 | 2020 | 1900-01-01 16:33:00 | 2 | Wednesday | 16 | 33 | 16.550000 | November | 64 |
| 7 | 847 | 2019-04-17 | 0:49 | NaN | 40.651974 | -73.86542 | (40.651974, -73.86542) | 3.0 | 0.0 | 0 | 0 | 0 | 0 | 3 | 0 | Following Too Closely | 4408571 | Station Wagon/Sport Utility Vehicle | Sedan | 2019-04-17 | 2019 | 1900-01-01 00:49:00 | 2 | Wednesday | 0 | 49 | 0.816667 | April | 48 |
| 8 | 1044 | 2020-04-17 | 1:50 | MANHATTAN | 40.771610 | -73.99046 | (40.77161, -73.99046) | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | Driver Inattention/Distraction | 4408441 | Sedan | NaN | 2020-04-17 | 2020 | 1900-01-01 01:50:00 | 4 | Friday | 1 | 50 | 1.833333 | April | 97 |
| 9 | 1145 | 2020-12-18 | 7:00 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Pavement Slippery | 4377115 | Station Wagon/Sport Utility Vehicle | NaN | 2020-12-18 | 2020 | 1900-01-01 07:00:00 | 4 | Friday | 7 | 0 | 7.000000 | December | 103 |
Last rows
| df_index | CRASH DATE | CRASH TIME | BOROUGH | LATITUDE | LONGITUDE | LOCATION | NUMBER OF PERSONS INJURED | NUMBER OF PERSONS KILLED | NUMBER OF PEDESTRIANS INJURED | NUMBER OF PEDESTRIANS KILLED | NUMBER OF CYCLIST INJURED | NUMBER OF CYCLIST KILLED | NUMBER OF MOTORIST INJURED | NUMBER OF MOTORIST KILLED | CONTRIBUTING FACTOR VEHICLE 1 | COLLISION_ID | VEHICLE TYPE CODE 1 | VEHICLE TYPE CODE 2 | DateTime | Year | Time | DayOfWeekNumber | DayOfWeek | hourofday | minute | timeofdaypercent | month | hourofweek | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 556195 | 688748 | 2018-01-11 | 17:29 | BROOKLYN | 40.615944 | -73.975640 | (40.615944, -73.97564) | 1.0 | 0.0 | 0 | 0 | 1 | 0 | 0 | 0 | Driver Inattention/Distraction | 3828035 | Sedan | Bike | 2018-01-11 | 2018 | 1900-01-01 17:29:00 | 3 | Thursday | 17 | 29 | 17.483333 | January | 89 |
| 556196 | 688749 | 2018-01-21 | 18:27 | NaN | 40.741660 | -73.735886 | (40.74166, -73.735886) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Passing or Lane Usage Improper | 3832823 | Sedan | Station Wagon/Sport Utility Vehicle | 2018-01-21 | 2018 | 1900-01-01 18:27:00 | 6 | Sunday | 18 | 27 | 18.450000 | January | 162 |
| 556197 | 688750 | 2018-01-19 | 18:30 | NaN | 40.738487 | -73.989960 | (40.738487, -73.98996) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Passing or Lane Usage Improper | 3831311 | Pick-up Truck | Station Wagon/Sport Utility Vehicle | 2018-01-19 | 2018 | 1900-01-01 18:30:00 | 4 | Friday | 18 | 30 | 18.500000 | January | 114 |
| 556198 | 688751 | 2018-01-05 | 11:00 | NaN | 40.791435 | -73.850440 | (40.791435, -73.85044) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Passing Too Closely | 3823209 | Sedan | NaN | 2018-01-05 | 2018 | 1900-01-01 11:00:00 | 4 | Friday | 11 | 0 | 11.000000 | January | 107 |
| 556199 | 688752 | 2018-01-13 | 17:30 | QUEENS | 40.713820 | -73.920770 | (40.71382, -73.92077) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Pavement Slippery | 3828610 | Station Wagon/Sport Utility Vehicle | Sedan | 2018-01-13 | 2018 | 1900-01-01 17:30:00 | 5 | Saturday | 17 | 30 | 17.500000 | January | 137 |
| 556200 | 688753 | 2018-01-26 | 22:36 | BROOKLYN | 40.646640 | -73.924600 | (40.64664, -73.9246) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Unspecified | 3837602 | Sedan | Station Wagon/Sport Utility Vehicle | 2018-01-26 | 2018 | 1900-01-01 22:36:00 | 4 | Friday | 22 | 36 | 22.600000 | January | 118 |
| 556201 | 688754 | 2018-01-14 | 15:00 | NaN | 40.677483 | -73.930330 | (40.677483, -73.93033) | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | Driver Inattention/Distraction | 3830100 | Station Wagon/Sport Utility Vehicle | Sedan | 2018-01-14 | 2018 | 1900-01-01 15:00:00 | 6 | Sunday | 15 | 0 | 15.000000 | January | 159 |
| 556202 | 688755 | 2018-01-14 | 12:20 | MANHATTAN | 40.867580 | -73.918420 | (40.86758, -73.91842) | 1.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 0 | Driver Inexperience | 3830852 | Sedan | Station Wagon/Sport Utility Vehicle | 2018-01-14 | 2018 | 1900-01-01 12:20:00 | 6 | Sunday | 12 | 20 | 12.333333 | January | 156 |
| 556203 | 688756 | 2018-01-23 | 6:30 | NaN | 40.832764 | -73.945830 | (40.832764, -73.94583) | 1.0 | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | Failure to Yield Right-of-Way | 3834124 | Taxi | NaN | 2018-01-23 | 2018 | 1900-01-01 06:30:00 | 1 | Tuesday | 6 | 30 | 6.500000 | January | 30 |
| 556204 | 688757 | 2018-01-17 | 5:49 | BROOKLYN | 40.725880 | -73.941696 | (40.72588, -73.941696) | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | Failure to Yield Right-of-Way | 3829741 | Sedan | Sedan | 2018-01-17 | 2018 | 1900-01-01 05:49:00 | 2 | Wednesday | 5 | 49 | 5.816667 | January | 53 |